An Analysis of Election Prediction Base on Various Machine Learning Model

被引:0
|
作者
Gupta, Sanjay Kumar [1 ]
Badholia, Abhishek [2 ]
机构
[1] MATS Univ, Raipur, Madhya Pradesh, India
[2] MATS Univ, Dept CSE, Raipur, Madhya Pradesh, India
关键词
Social media computing; Sentiment analysis; Machine learning; Opinion mining; prediction; classification;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Today social media network has provided a huge user generated contents for research and analysis of any government policy, products, organization and any topics. Social media groups have many correlated users for sharing information. Research on these data will provide benefit to individuals, groups, organizations or parties. Election campaigning and outcomes has also been affected by it. Today social news can became agenda of election also. Political parties will uses SMN as a tool for election campaigning. As elections main concentration are youth, and mostly youth are on social network, election outcome will also be predicted by performing research and analysis on this. Worldwide election prediction can be performed by using various techniques like sentiment analysis, machine learning, deep learning etc. This paper present review of various researches performed on social media election prediction.
引用
收藏
页码:820 / 824
页数:5
相关论文
共 50 条
  • [1] Automated Reasoning on Machine Learning Model of Legislative Election Prediction
    Rusmawati, Yanti
    PROCEEDINGS OF THE 10TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE GRAPHS (IJCKG 2021), 2021, : 200 - 204
  • [2] A Machine Learning Based Strategy for Election Result Prediction
    Tsai, Meng-Hsiu
    Wang, Yingfeng
    Kwak, Myungjae
    Rigole, Neil
    2019 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2019), 2019, : 1408 - 1410
  • [3] An Extreme Learning Machine Model Approach on Airbnb Base Price Prediction
    Priambodo, Fikri Nurqahhari
    Sihabuddin, Agus
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (11) : 179 - 185
  • [4] Comparative Analysis of Various Machine Learning Approaches for Bitcoin Price Prediction
    Muvvala, Abhishek
    Chivukula, Rohit
    Lakshmi, T. Jaya
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE, ASPAI' 2020, 2020, : 161 - 164
  • [5] Performance analysis and comparison of various machine learning algorithms for early stroke prediction
    Padimi, Vinay
    Telu, Venkata Sravan
    Ningombam, Devarani Devi
    ETRI JOURNAL, 2023, 45 (06) : 1007 - 1021
  • [6] Analysis of Autism Spectrum Disorder Prediction using various Machine Learning Models
    Kumaravel, V
    HelenPrabha, K.
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [7] Base Station Prediction Analysis Scheme Based on Lasso Regression Machine Learning Algorithm
    Wang, Dong
    Che, Yue
    Li, Chao
    Chen, Yahui
    Yin, Hui
    Zhang, Chunlian
    2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021), 2021, : 1406 - 1411
  • [8] Machine Learning Grey Model for Prediction
    Kumar, R. Subham
    Ganesh, G. S.
    Vijayarangan, N.
    Padmanabhan, K.
    Satish, B.
    Kumar, Alok
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2017, : 799 - 804
  • [9] Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning
    Bozkurt C.
    Aşuroğlu T.
    SN Computer Science, 4 (3)
  • [10] Evaluation of machine learning approach for base and subgrade layer temperature prediction at various depths in the presence of insulation layers
    Huang, Yunyan
    Nojumi, Mohamad Molavi
    Ansari, Shadi
    Hashemian, Leila
    Bayat, Alireza
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2023, 24 (01)